{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 15. NLP Analysis of Large Text Datasets\n",
    "\n",
    "## 15.1. Loading Online Forum Discussions Using Scikit-Learn\n",
    "\n",
    "We can access thousands of newsgroup posts from Scikit-Learn, by importing `fetch_20newsgroups` from `sklearn.datasets`. Afterwards, calling `fetch_20newsgroups()`will return a `newsgroups` object that contains both textual and categorical data. \n",
    "\n",
    "**WARNING: This code requires an internet connection to download the newsgroup data the first time it is run**\n",
    "\n",
    "**Listing 15. 1. Fetching the newsgroup dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import fetch_20newsgroups\n",
    "newsgroups = fetch_20newsgroups(remove=('headers', 'footers'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `newsgroups` object contains messages from 20 different message-board categories. We can view the category names by printing `newsgroups.target_names`.\n",
    "\n",
    "**Listing 15. 2. Printing the names of all 20 newsgroups**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['alt.atheism', 'comp.graphics', 'comp.os.ms-windows.misc', 'comp.sys.ibm.pc.hardware', 'comp.sys.mac.hardware', 'comp.windows.x', 'misc.forsale', 'rec.autos', 'rec.motorcycles', 'rec.sport.baseball', 'rec.sport.hockey', 'sci.crypt', 'sci.electronics', 'sci.med', 'sci.space', 'soc.religion.christian', 'talk.politics.guns', 'talk.politics.mideast', 'talk.politics.misc', 'talk.religion.misc']\n"
     ]
    }
   ],
   "source": [
    "print(newsgroups.target_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The actual text information is stored within the `newsgroups.data` attribute. The attribute contains a list of posted texts. Thus, `newsgroups.data[0]` contains the text of the first stored newsgroup post.\n",
    "\n",
    "**Listing 15. 3. Printing the first newsgroup post**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I was wondering if anyone out there could enlighten me on this car I saw\n",
      "the other day. It was a 2-door sports car, looked to be from the late 60s/\n",
      "early 70s. It was called a Bricklin. The doors were really small. In addition,\n",
      "the front bumper was separate from the rest of the body. This is \n",
      "all I know. If anyone can tellme a model name, engine specs, years\n",
      "of production, where this car is made, history, or whatever info you\n",
      "have on this funky looking car, please e-mail.\n"
     ]
    }
   ],
   "source": [
    "print(newsgroups.data[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The post is about a car. It probably was posted to the car-discussion newsgroup,  _rec.autos_. We can confirm by printing `newsgroups.target_names[newsgroups.target[0]]`.\n",
    "\n",
    "**Listing 15. 4. Printing newsgroup name at index 0**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The post at index 0 first appeared in the 'rec.autos' group\n"
     ]
    }
   ],
   "source": [
    "origin = newsgroups.target_names[newsgroups.target[0]]\n",
    "print(f\"The post at index 0 first appeared in the '{origin}' group\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets dive deeper into our newsgroup dataset by printing out the dataset size.\n",
    "\n",
    "**Listing 15. 5. Counting the number of newsgroup posts**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our dataset contains 11314 newsgroup posts\n"
     ]
    }
   ],
   "source": [
    "dataset_size = len(newsgroups.data)\n",
    "print(f\"Our dataset contains {dataset_size} newsgroup posts\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our dataset contains over 11,000 posts. Our goal is to cluster these posts by topic. To do so, we'll need to transform each newsgroup post into TF vector. We will compute these vectors using Scikit-Learn.\n",
    "\n",
    "## 15.2. Vectorizing Documents Using Scikit-Learn\n",
    "\n",
    "Scikit-Learn provides built-in class for transforming input texts into TF vectors. That class is called `CountVectorizer`. Initializing `CounterVectorizer` will create a `vectorizer` object capable of vectorizing our texts. \n",
    "\n",
    "**Listing 15. 6. Initializing a `CountVectorizer` object**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "vectorizer = CountVectorizer()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are now ready to vectorize the texts stored in the `newsgroups.data` list. All we need to do is run `vectorizer.fit_transform(newsgroups.data)`. The method-call will return the TF matrix corresponding to the vectorized newsgroup posts. \n",
    "\n",
    "**Listing 15. 7. Computing a TF matrix with Scikit-Learn**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  (0, 108644)\t4\n",
      "  (0, 110106)\t1\n",
      "  (0, 57577)\t2\n",
      "  (0, 24398)\t2\n",
      "  (0, 79534)\t1\n",
      "  (0, 100942)\t1\n",
      "  (0, 37154)\t1\n",
      "  (0, 45141)\t1\n",
      "  (0, 70570)\t1\n",
      "  (0, 78701)\t2\n",
      "  (0, 101084)\t4\n",
      "  (0, 32499)\t4\n",
      "  (0, 92157)\t1\n",
      "  (0, 100827)\t6\n",
      "  (0, 79461)\t1\n",
      "  (0, 39275)\t1\n",
      "  (0, 60326)\t2\n",
      "  (0, 42332)\t1\n",
      "  (0, 96432)\t1\n",
      "  (0, 67137)\t1\n",
      "  (0, 101732)\t1\n",
      "  (0, 27703)\t1\n",
      "  (0, 49871)\t2\n",
      "  (0, 65338)\t1\n",
      "  (0, 14106)\t1\n",
      "  :\t:\n",
      "  (11313, 55901)\t1\n",
      "  (11313, 93448)\t1\n",
      "  (11313, 97535)\t1\n",
      "  (11313, 93393)\t1\n",
      "  (11313, 109366)\t1\n",
      "  (11313, 102215)\t1\n",
      "  (11313, 29148)\t1\n",
      "  (11313, 26901)\t1\n",
      "  (11313, 94401)\t1\n",
      "  (11313, 89686)\t1\n",
      "  (11313, 80827)\t1\n",
      "  (11313, 72219)\t1\n",
      "  (11313, 32984)\t1\n",
      "  (11313, 82912)\t1\n",
      "  (11313, 99934)\t1\n",
      "  (11313, 96505)\t1\n",
      "  (11313, 72102)\t1\n",
      "  (11313, 32981)\t1\n",
      "  (11313, 82692)\t1\n",
      "  (11313, 101854)\t1\n",
      "  (11313, 66399)\t1\n",
      "  (11313, 63405)\t1\n",
      "  (11313, 61366)\t1\n",
      "  (11313, 7462)\t1\n",
      "  (11313, 109600)\t1\n"
     ]
    }
   ],
   "source": [
    "tf_matrix = vectorizer.fit_transform(newsgroups.data)\n",
    "print(tf_matrix)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our printed `tf_matrix` does not appear to be a NumPy array. What sort of data structure is it? We can check, by printing `type(tf_matrix)`.\n",
    "\n",
    "**Listing 15. 8. Checking the data-type of `tf_matrix`**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'scipy.sparse.csr.csr_matrix'>\n"
     ]
    }
   ],
   "source": [
    "print(type(tf_matrix))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The matrix is SciPy object called `csr_matrix`. **CSR** stands for **Compressed Sparse Row**, which is a storage format for compressing matrices that are composed mostly of zeros. These mostly empty matrices are referred to as **sparse matrices**. They can be made smaller by storing only the non-zero elements. This compression leads to more efficient memory usage, and also faster computation. \n",
    "\n",
    "This interplay between various matrix types is useful, but also a bit confusing. In order to minimize confusion, we will now convert `tf_matrix` into a 2D NumPy array.\n",
    "\n",
    "**Listing 15. 9. Converting a CSR matrix to a NumPy array**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]]\n"
     ]
    }
   ],
   "source": [
    "tf_np_matrix = tf_matrix.toarray()\n",
    "print(tf_np_matrix)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The printed matrix is a 2D NumPy array. The matrix columns represent posts. Thus, the total column-count equals our dataset’s vocabulary size. \n",
    "\n",
    "**Listing 15. 10. Checking the vocabulary size**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our collection of 11314 newsgroup posts contain a total of 114751 unique words\n"
     ]
    }
   ],
   "source": [
    "assert tf_np_matrix.shape == tf_matrix.shape\n",
    "num_posts, vocabulary_size = tf_np_matrix.shape\n",
    "print(f\"Our collection of {num_posts} newsgroup posts contain a total of \" \n",
    "      f\"{vocabulary_size} unique words\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our data contains 114,000 unique words. However, most posts will hold only a few dozen of these words. We can measure the unique word-count of a post at index `i` by counting the number of non-zero elements in row `tf_np_matrix[i]`.  \n",
    "\n",
    "**Listing 15. 11. Counting the unique words in the car post**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The newsgroup in row 0 contains 64 unique words.\n",
      "The actual word-counts map to the following column indices:\n",
      "\n",
      "[ 14106  15549  22088  23323  24398  27703  29357  30093  30629  32194\n",
      "  32305  32499  37154  39275  42332  42333  43643  45089  45141  49871\n",
      "  49881  50165  54442  55453  57577  58321  58842  60116  60326  64083\n",
      "  65338  67137  67140  68931  69080  70570  72915  75280  78264  78701\n",
      "  79055  79461  79534  82759  84398  87690  89161  92157  93304  95225\n",
      "  96145  96432 100406 100827 100942 101084 101732 108644 109086 109254\n",
      " 109294 110106 112936 113262]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "tf_vector = tf_np_matrix[0]\n",
    "non_zero_indices = np.flatnonzero(tf_vector)\n",
    "num_unique_words = non_zero_indices.size\n",
    "print(f\"The newsgroup in row 0 contains {num_unique_words} unique words.\")\n",
    "print(\"The actual word-counts map to the following column indices:\\n\")\n",
    "print(non_zero_indices)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first newsgroup post contains 64 unique words.  What are these words? In order to find out, we’ll need a mapping between TF vector indices and word-values. That mapping can be generated by calling `vectorizer.get_feature_names()`. \n",
    "\n",
    "**Listing 15. 12. Printing the unique words in the car post**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['60s', '70s', 'addition', 'all', 'anyone', 'be', 'body', 'bricklin', 'bumper', 'called', 'can', 'car', 'could', 'day', 'door', 'doors', 'early', 'engine', 'enlighten', 'from', 'front', 'funky', 'have', 'history', 'if', 'in', 'info', 'is', 'it', 'know', 'late', 'looked', 'looking', 'made', 'mail', 'me', 'model', 'name', 'of', 'on', 'or', 'other', 'out', 'please', 'production', 'really', 'rest', 'saw', 'separate', 'small', 'specs', 'sports', 'tellme', 'the', 'there', 'this', 'to', 'was', 'were', 'whatever', 'where', 'wondering', 'years', 'you']\n"
     ]
    }
   ],
   "source": [
    "words = vectorizer.get_feature_names()\n",
    "unique_words = [words[i] for i in non_zero_indices]\n",
    "print(unique_words)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We’ve printed all the words in `newsgroups.data[0]`. Of course, not all these words have equal mention-counts. Some words occur more frequently than others.  Lets print the 10 most frequent words within the post, along with their associated counts. \n",
    "\n",
    "**Listing 15. 13. Printing the most frequent words in the car post**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Word  Count\n",
      "    the      6\n",
      "   this      4\n",
      "    was      4\n",
      "    car      4\n",
      "     if      2\n",
      "     is      2\n",
      "     it      2\n",
      "   from      2\n",
      "     on      2\n",
      " anyone      2\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "data = {'Word': unique_words, \n",
    "        'Count': tf_vector[non_zero_indices]}\n",
    "\n",
    "df = pd.DataFrame(data).sort_values('Count', ascending=False)\n",
    "print(df[:10].to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Four of the 64 words within the post are mentioned at-least 4 times. One of these four words is _car_. The other three words, however, have nothing to do with cars. These words, _the_, _this_, and _was_, are among the most common words in the English language. NLP practitioners refer to such common words as **stop words**. Running `CountVectorizer(stopwords='english')` remove all stop words during vectorization.\n",
    "\n",
    "**Listing 15. 14. Removing stop words during vectorization**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "vectorizer = CountVectorizer(stop_words='english')\n",
    "tf_matrix = vectorizer.fit_transform(newsgroups.data)\n",
    "assert tf_matrix.shape[1] < 114751\n",
    "\n",
    "words = vectorizer.get_feature_names()\n",
    "for common_word in ['the', 'this', 'was', 'if', 'it', 'on']:\n",
    "    assert common_word not in words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All stop words have been deleted from the recomputed `tf_matrix`. Now, we can re-generate the 10 most frequent words in `newsgroups.data[0]`. \n",
    "\n",
    "**Listing 15. 15. Re-printing the top words after stop-word deletion**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After stop-word deletion, 34 unique words remain.\n",
      "The 10 most frequent words are:\n",
      "\n",
      "       Word  Count\n",
      "        car      4\n",
      "        60s      1\n",
      "        saw      1\n",
      "    looking      1\n",
      "       mail      1\n",
      "      model      1\n",
      " production      1\n",
      "     really      1\n",
      "       rest      1\n",
      "   separate      1\n"
     ]
    }
   ],
   "source": [
    "tf_np_matrix = tf_matrix.toarray()\n",
    "tf_vector = tf_np_matrix[0]\n",
    "non_zero_indices = np.flatnonzero(tf_vector)\n",
    "unique_words = [words[index] for index in non_zero_indices]\n",
    "data = {'Word': unique_words, \n",
    "        'Count': tf_vector[non_zero_indices]}\n",
    "\n",
    "df = pd.DataFrame(data).sort_values('Count', ascending=False)\n",
    "print(f\"After stop-word deletion, {df.shape[0]} unique words remain.\")\n",
    "print(\"The 10 most frequent words are:\\n\")\n",
    "print(df[:10].to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After stop-word filtering, 34 words remain. Among them, _car_ is the only word that is mentioned more than once. The other 33 words share a mention-count of one. However, not all words are equal in their relevancy. For instance, the word _model_ refers to a car-model. Meanwhile, the word _really_ is more general.  Thus, _really_ is  less relevant than _model_, because the former is mentioned more posts.  Therefore, when ranking words by relevance, we should leverage both post-frequency and count. \n",
    "\n",
    "## 15.3. Ranking Words by Both Post-Frequency and Count\n",
    "\n",
    "Each of the 34 words in `df.Word` appears in a certain fraction of newsgroup posts. In NLP, this fraction is referred to as the **document frequency** of a word. Our goal is to compute 34 document frequencies, in order to improve our word-relevancy rankings. First, we’ll want to select those columns of `tf_np_matrix` that correspond to the 34 non-zero indices within the `non_zero_indices` array.\n",
    "\n",
    "**Listing 15. 16. Filtering matrix columns with `non_zero_indices`**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We obtained a sub-matrix correspond to the 34 words within post 0. The first row of the sub-matrix is:\n",
      "[1 1 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]\n"
     ]
    }
   ],
   "source": [
    "sub_matrix = tf_np_matrix[:,non_zero_indices]\n",
    "print(\"We obtained a sub-matrix correspond to the 34 words within post 0. \"\n",
    "      \"The first row of the sub-matrix is:\")\n",
    "print(sub_matrix[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first row of `sub_matrix` corresponds to the 34 word-counts in `df`. Together, all the matrix rows correspond to counts across all posts. We’ll need to convert these counts into binary values. \n",
    "\n",
    "**Listing 15. 17. Converting word-counts to binary values**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1 1 1 ... 1 1 1]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 1 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import binarize\n",
    "binary_matrix = binarize(sub_matrix)\n",
    "print(binary_matrix)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we’ll need to add together the rows of our binary sub-matrix. This will produce a vector of integer counts. Each ith vector element will equal the number of unique posts in which word `i` is present. \n",
    "\n",
    "**Listing 15. 18. Summing matrix rows to obtain post counts**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This vector counts the unique posts in which each word is mentioned:\n",
      " [  18   21  202  314    4   26  802  536  842  154   67  348  184   25\n",
      "    7  368  469 3093  238  268  780  901  292   95 1493  407  354  158\n",
      "  574   95   98    2  295 1174]\n"
     ]
    }
   ],
   "source": [
    "unique_post_mentions = binary_matrix.sum(axis=0)\n",
    "print(\"This vector counts the unique posts in which each word is \"\n",
    "      f\"mentioned:\\n {unique_post_mentions}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We should note that the above 3 procedures can be combined into a single line of code, by running `binarize(tf_np_matrix[:,non_zero_indices]).sum(axis=0)`. Furthermore, substituting NumPy’s `tf_np_matrix` with SciPy’s `tf_matrix` will still produce the same post-instance counts.\n",
    "\n",
    "**Listing 15. 19. Computing post mention-counts in a single line of code**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NumPy matrix-generated counts:\n",
      " [  18   21  202  314    4   26  802  536  842  154   67  348  184   25\n",
      "    7  368  469 3093  238  268  780  901  292   95 1493  407  354  158\n",
      "  574   95   98    2  295 1174]\n",
      "\n",
      "CSR matrix-generated counts:\n",
      " [[  18   21  202  314    4   26  802  536  842  154   67  348  184   25\n",
      "     7  368  469 3093  238  268  780  901  292   95 1493  407  354  158\n",
      "   574   95   98    2  295 1174]]\n"
     ]
    }
   ],
   "source": [
    "np_post_mentions = binarize(tf_np_matrix[:,non_zero_indices]).sum(axis=0)\n",
    "csr_post_mentions = binarize(tf_matrix[:,non_zero_indices]).sum(axis=0)\n",
    "print(f'NumPy matrix-generated counts:\\n {np_post_mentions}\\n')\n",
    "print(f'CSR matrix-generated counts:\\n {csr_post_mentions}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on the printed vector of post-mentions, we know that some words appear in thousands of posts. Other words appear in less than a dozen posts. Lets transform these counts into document frequencies, and align the frequencies with `df.Word`. Afterwards, we’ll output all the words that are mentioned in at-least 10% of newsgroup posts. \n",
    "\n",
    "**Listing 15. 20. Printing the words with the highest document frequency**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Word  Count  Document Frequency\n",
      "   know      1            0.273378\n",
      " really      1            0.131960\n",
      "  years      1            0.103765\n"
     ]
    }
   ],
   "source": [
    "document_frequencies = unique_post_mentions / dataset_size\n",
    "data = {'Word': unique_words, \n",
    "        'Count': tf_vector[non_zero_indices],\n",
    "        'Document Frequency': document_frequencies}\n",
    "\n",
    "df = pd.DataFrame(data)\n",
    "df_common_words = df[df['Document Frequency'] >= .1]\n",
    "print(df_common_words.to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Three of the 34 words appear have document frequency that’s greater than 0.1. As expected, these words are very general, and not car-specific. We thus can utilize document frequencies for ranking purposes.\n",
    "\n",
    "**Listing 15. 21. Ranking words by both count and document frequency**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Word  Count  Document Frequency\n",
      "        car      4            0.047375\n",
      "     tellme      1            0.000177\n",
      "   bricklin      1            0.000354\n",
      "      funky      1            0.000619\n",
      "        60s      1            0.001591\n",
      "        70s      1            0.001856\n",
      "  enlighten      1            0.002210\n",
      "     bumper      1            0.002298\n",
      "      doors      1            0.005922\n",
      " production      1            0.008397\n"
     ]
    }
   ],
   "source": [
    "df_sorted = df.sort_values(['Count', 'Document Frequency'], \n",
    "                           ascending=[False, True])\n",
    "print(df_sorted[:10].to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our sorting was successful. New car-related words, such as _bumper_, are now present in our list of top-ranked words.  Lets combine the word-counts and the document frequencies into a single score. We’ll start by computing `1/document_frequencies`. This will produce an array of **inverse document frequencies**, a term that’s commonly shortened to **IDF**. Next, we’ll multiply `df.Word` by the IDF array, in order to compute the combined score. \n",
    "\n",
    "**Listing 15. 22. Combining counts and frequencies into a single score**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Word  Count  Document Frequency          IDF     Combined\n",
      "     tellme      1            0.000177  5657.000000  5657.000000\n",
      "   bricklin      1            0.000354  2828.500000  2828.500000\n",
      "      funky      1            0.000619  1616.285714  1616.285714\n",
      "        60s      1            0.001591   628.555556   628.555556\n",
      "        70s      1            0.001856   538.761905   538.761905\n",
      "  enlighten      1            0.002210   452.560000   452.560000\n",
      "     bumper      1            0.002298   435.153846   435.153846\n",
      "      doors      1            0.005922   168.865672   168.865672\n",
      "      specs      1            0.008397   119.094737   119.094737\n",
      " production      1            0.008397   119.094737   119.094737\n"
     ]
    }
   ],
   "source": [
    "inverse_document_frequencies = 1 / document_frequencies\n",
    "df['IDF'] = inverse_document_frequencies\n",
    "df['Combined'] = df.Count * inverse_document_frequencies\n",
    "df_sorted = df.sort_values('Combined', ascending=False)\n",
    "print(df_sorted[:10].to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our new ranking has failed! The word _car_ no longer appears at the top of the list. There is a problem with the IDF values: some of them are huge! Thus, when we multiply word-counts by TDFIF values, the TFIDF will dominate. We thus need to somehow make our TFIDF values smaller. One way to shrink the values down is to apply a logarithmic function. For instance, running `np.log10(1000000)` will return `6`. \n",
    "\n",
    "**Listing 15. 23. Shrinking a large value using its logarithm**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert np.log10(1000000) == 6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets recompute our ranking score by running `df.Count * np.log10(df.IDF)`. The product of the counts and the shrunken IDF values should lead to a more reasonable ranking metric.\n",
    "\n",
    "**Listing 15. 24. Adjusting the combined score using logarithms**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Word  Count  Document Frequency          IDF  Combined\n",
      "       car      4            0.047375    21.108209  5.297806\n",
      "    tellme      1            0.000177  5657.000000  3.752586\n",
      "  bricklin      1            0.000354  2828.500000  3.451556\n",
      "     funky      1            0.000619  1616.285714  3.208518\n",
      "       60s      1            0.001591   628.555556  2.798344\n",
      "       70s      1            0.001856   538.761905  2.731397\n",
      " enlighten      1            0.002210   452.560000  2.655676\n",
      "    bumper      1            0.002298   435.153846  2.638643\n",
      "     doors      1            0.005922   168.865672  2.227541\n",
      "     specs      1            0.008397   119.094737  2.075893\n"
     ]
    }
   ],
   "source": [
    "df['Combined'] = df.Count * np.log10(df.IDF)\n",
    "df_sorted = df.sort_values('Combined', ascending=False)\n",
    "print(df_sorted[:10].to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our adjusted ranking score has yielded good results. The word _car_ is once again present at the top of the ranked list. Also, _bumper_ still appears amongst the top 10 ranked words. Meanwhile, _really_ is missing from the list. \n",
    "\n",
    "Our effective score is called the **term frequency-inverse document frequency**, or **TFIDF** for short. TFIDF is a simple but powerful metric for ranking words within a document. Furthermore, it can also be utilized to vectorize words within a document. Within larger text datasets, TFIDF vectors provide a greater signal of textual similarity and divergence.  That is why Scikit-Learn provides with a built-in class for TFIDF vector computation.\n",
    "\n",
    "\n",
    "### 15.3.1. Computing TFIDF Vectors with Scikit-Learn\n",
    "\n",
    "That `TfidfVectorizer` class is nearly identical to `CounterVectorizer`, except that it takes IDF into account during the vectorization process. \n",
    "\n",
    "**Listing 15. 25. Computing a TFIDF matrix with Scikit-Learn**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "tfidf_vectorizer = TfidfVectorizer(stop_words='english')\n",
    "tfidf_matrix = tfidf_vectorizer.fit_transform(newsgroups.data)\n",
    "assert tfidf_matrix.shape == tf_matrix.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our `tfdif_vectorizer` has learned the same vocabulary as the simpler TF vectorizer. In fact, the indices of words in `tfidf_matrix` are identical to those of `tf_matrix`. \n",
    "\n",
    "**Listing 15. 26. Confirming the preservation of vectorized word indices**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert tfidf_vectorizer.get_feature_names() == words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since word-order is preserved, we should expect the non-zero indices of `tfidf_matrix[0]` to equal our previously computed `non_zero_indices` array. \n",
    "\n",
    "**Listing 15. 27. Confirming the preservation of non-zero indices**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "tfidf_np_matrix = tfidf_matrix.toarray()\n",
    "tfidf_vector = tfidf_np_matrix[0]\n",
    "tfidf_non_zero_indices = np.flatnonzero(tfidf_vector)\n",
    "assert np.array_equal(tfidf_non_zero_indices,\n",
    "                      non_zero_indices)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The non-zero indices of `tf_vector` and `tfidif_vector` are identical. We thus can add the TFIDF vector as a column in our existing `df` table. Adding a _TFIDF_ column will allow us to compare Scikit-Learn’s output with our manually-computed score. \n",
    "\n",
    "**Listing 15. 28. Adding a TFIDF vector to the existing Pandas table**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['TFIDF'] = tfidf_vector[non_zero_indices]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sorting by `df.TFIDF` should produce a relevance ranking that is consistent with our previous observations. Lets verify that both `df.TFIDF` and `df.Combined` produce the same word-rankings after sorting.\n",
    "\n",
    "**Listing 15. 29. Sorting words by `df.TFIDF`**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Word  Count  Document Frequency          IDF  Combined     TFIDF\n",
      "       car      4            0.047375    21.108209  5.297806  0.459552\n",
      "    tellme      1            0.000177  5657.000000  3.752586  0.262118\n",
      "  bricklin      1            0.000354  2828.500000  3.451556  0.247619\n",
      "     funky      1            0.000619  1616.285714  3.208518  0.234280\n",
      "       60s      1            0.001591   628.555556  2.798344  0.209729\n",
      "       70s      1            0.001856   538.761905  2.731397  0.205568\n",
      " enlighten      1            0.002210   452.560000  2.655676  0.200827\n",
      "    bumper      1            0.002298   435.153846  2.638643  0.199756\n",
      "     doors      1            0.005922   168.865672  2.227541  0.173540\n",
      "     specs      1            0.008397   119.094737  2.075893  0.163752\n"
     ]
    }
   ],
   "source": [
    "df_sorted_old = df.sort_values('Combined', ascending=False)\n",
    "df_sorted_new = df.sort_values('TFIDF', ascending=False)\n",
    "assert np.array_equal(df_sorted_old['Word'].values,\n",
    "                      df_sorted_new['Word'].values)\n",
    "print(df_sorted_new[:10].to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our word-rankings have remained unchanged. However, the values of the _TFIDF_ and _Combined_ columns are not identical. As it turns out, Scikit-Learn automatically normalizes its TFIDF vector results. The magnitude of `df.TFIDF` has been modified to equal 1. \n",
    "\n",
    "**Listing 15. 30. Confirming that our TFIDF vector is normalized**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy.linalg import norm\n",
    "assert norm(df.TFIDF.values) == 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Why would Scikit-Learn automatically normalize the vectors? For our own benefit! As discussed in Section Thirteen, its easier to compute text-vector similarity when all vector magnitudes equal 1. Consequently, our normalized TFIDF matrix is primed for similarity analysis.\n",
    "\n",
    "## 15.4. Computing Similarities Across Large Document Datasets\n",
    "\n",
    "Which of our newsgroup posts is most similar to `newsgroups.post[0]`? We can obtain the answer by computing all the cosine similarities between `tfidf_np_matrix` and `tf_np_matrix[0]`.\n",
    "\n",
    "**Listing 15. 31. Computing similarities to a single newsgroup post**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.         0.00834093 0.04448717 ... 0.         0.00270615 0.01968562]\n"
     ]
    }
   ],
   "source": [
    "cosine_similarities = tfidf_np_matrix @ tfidf_np_matrix[0]\n",
    "print(cosine_similarities)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that `cosine_similarities[0]` is equal to 1.0. This is not surprising, since `newsgroups_data[0]` will have a perfect similarity with itself. What is the next-highest similarity in the vector? We can find out by calling `np.argsort(cosine_similarities)[-2]`. \n",
    "\n",
    "**Listing 15. 32. Finding the most similar newsgroup post**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The following post has a cosine similarity of 0.64 with newsgroups.data[0]:\n",
      "\n",
      "In article <1993Apr20.174246.14375@wam.umd.edu> lerxst@wam.umd.edu (where's my  \n",
      "thing) writes:\n",
      "> \n",
      ">  I was wondering if anyone out there could enlighten me on this car I saw\n",
      "> the other day. It was a 2-door sports car, looked to be from the late 60s/\n",
      "> early 70s. It was called a Bricklin. The doors were really small. In  \n",
      "addition,\n",
      "> the front bumper was separate from the rest of the body. This is \n",
      "> all I know. If anyone can tellme a model name, engine specs, years\n",
      "> of production, where this car is made, history, or whatever info you\n",
      "> have on this funky looking car, please e-mail.\n",
      "\n",
      "Bricklins were manufactured in the 70s with engines from Ford. They are rather  \n",
      "odd looking with the encased front bumper. There aren't a lot of them around,  \n",
      "but Hemmings (Motor News) ususally has ten or so listed. Basically, they are a  \n",
      "performance Ford with new styling slapped on top.\n",
      "\n",
      ">    ---- brought to you by your neighborhood Lerxst ----\n",
      "\n",
      "Rush fan?\n",
      "\n"
     ]
    }
   ],
   "source": [
    "most_similar_index = np.argsort(cosine_similarities)[-2]\n",
    "similarity = cosine_similarities[most_similar_index]\n",
    "most_similar_post = newsgroups.data[most_similar_index]\n",
    "print(f\"The following post has a cosine similarity of {similarity:.2f} \"\n",
    "       \"with newsgroups.data[0]:\\n\")\n",
    "print(most_similar_post)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How do we compute the matrix of all-by-all cosine similarities? The naive situation is to multiply `tfidf_np_matrix` with its transpose. However, for reasons discussed in Section Thirteen, this matrix multiplication is not computationally efficient. We need to reduce the matrix size, using `TruncatedSVD`. \n",
    "\n",
    "**Listing 15. 33. Dimensionally reducing `tfidf_matrix` using SVD**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We've dimensionally-reduced a 114441-column <class 'scipy.sparse.csr.csr_matrix'> matrix.\n",
      "Our output is a 100-column <class 'numpy.ndarray'> matrix.\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(0)\n",
    "from sklearn.decomposition import TruncatedSVD\n",
    "\n",
    "shrunk_matrix = TruncatedSVD(n_components=100).fit_transform(tfidf_matrix)\n",
    "print(f\"We've dimensionally-reduced a {tfidf_matrix.shape[1]}-column \"\n",
    "      f\"{type(tfidf_matrix)} matrix.\")\n",
    "print(f\"Our output is a {shrunk_matrix.shape[1]}-column \"\n",
    "      f\"{type(shrunk_matrix)} matrix.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our shrunk matrix contains just 100 columns. We can now efficiently compute the cosine similarities by running `shrunk_matrix @ shrunk_matrix.T`. However, first we’ll need to confirm that the matrix rows remain normalized.\n",
    "\n",
    "**Listing 15. 34. Checking the magnitude of `shrunk_matrix[0]`**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The magnitude of the first row is 0.49\n"
     ]
    }
   ],
   "source": [
    "magnitude = norm(shrunk_matrix[0])\n",
    "print(f\"The magnitude of the first row is {magnitude:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The magnitude of the row is less than 1. Scikit-Learn’s SVD output has not been automatically normalized. We’ll need to manually normalize the matrix, prior to computing the similarities.\n",
    "\n",
    "**Listing 15. 35. Normalizing the SVD output**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The magnitude of the first row is 1.00\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import normalize\n",
    "shrunk_norm_matrix = normalize(shrunk_matrix)\n",
    "magnitude = norm(shrunk_norm_matrix[0])\n",
    "print(f\"The magnitude of the first row is {magnitude:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The shrunken matrix has been normalized. Now, running `shrunk_norm_matrix @ shrunk_norm_matrix.T` should produce a matrix of all-by-all cosine similarities.\n",
    "\n",
    "**Listing 15. 36. Computing all-by-all cosine similarities**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "cosine_similarity_matrix = shrunk_norm_matrix @ shrunk_norm_matrix.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have our similarity matrix. Lets leverage it to choose a random pair of very similar texts.  \n",
    "\n",
    "**Listing 15. 37. Choosing a random pair of similar posts**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The posts at indices 235 and 7805 share a cosine similarity of 0.91\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(1)\n",
    "index1 = np.random.randint(dataset_size)\n",
    "index2 = np.argsort(cosine_similarity_matrix[index1])[-2]\n",
    "similarity = cosine_similarity_matrix[index1][index2]\n",
    "print(f\"The posts at indices {index1} and {index2} share a cosine \"\n",
    "      f\"similarity of {similarity:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our two selected indices share a very high cosine similarity of 0.91. The corresponding posts must be exceedingly similar. Lets confirm. First, we’ll print the post at `index2`.\n",
    "\n",
    "**Listing 15. 38. Printing a randomly chosen post**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello,\n",
      "\tWho can tell me   Where can I find the PD or ShareWare   \n",
      "Which can CAPTURE windows 3.1's output of printer mananger?\n",
      "\tI want to capture the output of HP Laser Jet III.\n",
      "\tThough the PostScript can setup to print to file,but HP can't.\n",
      "\tI try DOS's redirect program,but they can't work in Windows 3.1\n",
      "\t\tThankx for any help....\n",
      "--\n",
      " Internet Address: u7911093@cc.nctu.edu.tw\n",
      "    English Name: Erik Wang\n",
      "    Chinese Name: Wang Jyh-Shyang\n"
     ]
    }
   ],
   "source": [
    "print(newsgroups.data[index2].replace('\\n\\n', '\\n'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once again, the printed post is a question. Its safe to assume that the post at `index1` is an answer to that question.\n",
    "\n",
    "**Listing 15. 39. Printing the most-similar post response**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "u7911093@cc.nctu.edu.tw (\"By SWH ) writes:\n",
      ">Who can tell me which program (PD or ShareWare) can redirect windows 3.1's\n",
      ">output of printer manager to file? \n",
      ">\tI want to capture HP Laser Jet III's print output.\n",
      "> \tThough PostScript can setup print to file,but HP can't.\n",
      ">\tI use DOS's redirect program,but they can't work in windows.\n",
      ">\t\tThankx for any help...\n",
      ">--\n",
      "> Internet Address: u7911093@cc.nctu.edu.tw\n",
      ">    English Name: Erik Wang\n",
      ">    Chinese Name: Wang Jyh-Shyang\n",
      "> National Chiao-Tung University,Taiwan,R.O.C.\n",
      "Try setting up another HPIII printer but when choosing what port to connect it\n",
      "to choose FILE instead of like :LPT1.  This will prompt you for a file name\n",
      "everytime you print with that \"HPIII on FILE\" printer. Good Luck.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(newsgroups.data[index1].replace('\\n\\n', '\\n'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thus far, we have examined two pairs of similar posts. Lets challenge ourselves to find something more interesting. We’ll search for clusters of similar texts, where posts within a cluster share some text without perfectly overlapping. \n",
    "\n",
    "## Clustering Texts by Topic\n",
    "\n",
    "In Section Ten, we introduced two clustering algorithms; K-means and DBSCAN. K-means can only cluster on Euclidean distance. Conversely, DBSCAN, can cluster based on any distance metric. One possible metric is cosine distance which equals 1 minus cosine similarity. Lets cluster `shrunk_matrix` with BDSCAN, using the cosine distance. We'll set the `eps` and `min_samples` parameters to 0.4 and 50, respectively.\n",
    "\n",
    "**Listing 15. 40. Clustering newsgroup posts with DBSCAN**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.cluster import DBSCAN\n",
    "cluster_model = DBSCAN(eps=0.4, min_samples=50, metric='cosine')\n",
    "clusters = cluster_model.fit_predict(shrunk_matrix)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "W can expect our `clusters` array to contain somewhere between 10 and 25 clusters. Otherwise, there’s something wrong with our input clustering parameters. We’ll now proceed to count the number of clusters.\n",
    "**Listing 15. 41. Counting the number of DBSCAN clusters**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We've generated 3 DBSCAN clusters\n"
     ]
    }
   ],
   "source": [
    "cluster_count = clusters.max() + 1\n",
    "print(f\"We've generated {cluster_count} DBSCAN clusters\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We’ve generated just 3 clusters, which is way lower than our expected cluster count. Clearly, our DBSCAN parameters were wrong. Unfortunately, DBSCAN lacks a well-established algorithm for optimizing these two crucial parameters.\n",
    "\n",
    "K-means, on the other hand, takes as input a single K parameter. However, the K-means algorithm can only cluster based on Euclidean distance.  With basic algebra, we can easily show that the Euclidean distance of two normalized vectors is proportional to the square-root of the cosine distance. This relationship provides us with mathematical justification for clustering `shrunk_norm_matrix` using K-means. \n",
    "\n",
    "We’ll want to estimate the true value of K by generating an Elbow plot. To this end, we’ll execute K-means across K values of 1 through 60, and afterwards plot the inertia results. Running Scikit-Learn's implementation of the **Mini Batch K-means** algorithm will produce this plot much faster than regular K-means.\n",
    "\n",
    "**Listing 15. 42. Comparing `KMeans` to `MiniBatchKMeans`**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mini Batch K-means ran 9.84 times faster than regular K-means\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(0)\n",
    "import time \n",
    "from sklearn.cluster import KMeans, MiniBatchKMeans\n",
    "\n",
    "k=20\n",
    "times = []\n",
    "for KMeans_class in [KMeans, MiniBatchKMeans]:\n",
    "    start_time = time.time()\n",
    "    KMeans_class(k).fit(shrunk_norm_matrix)\n",
    "    times.append(time.time() - start_time)\n",
    "\n",
    "running_time_ratio = times[0] / times[1]\n",
    "print(f\"Mini Batch K-means ran {running_time_ratio:.2f} times faster \"\n",
    "       \"than regular K-means\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`MiniBatchKMeans` runs approximately  10x faster than regular `KMeans`.  We’ll now proceed to generate the Elbow plot, using Mini Batch K-means."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.random.seed(0)\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "k_values = range(1, 61)\n",
    "inertia_values = [MiniBatchKMeans(k).fit(shrunk_norm_matrix).inertia_ \n",
    "                  for k in k_values]\n",
    "plt.plot(k_values, inertia_values)\n",
    "plt.xlabel('K')\n",
    "plt.ylabel('Inertia')\n",
    "plt.axvline(20, c='k')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our plotted curve decreases smoothly. The precise location of a bent elbow-shaped transition is difficult to spot. We do see that the curve is noticeably more steep when K is less than 20. Somewhere after 20 clusters, the curve begins to flatten out. We can infer that 20 is a reasonable estimate of the K parameter. Our solution isn’t perfect, but it’s feasible. Sometimes, when we deal with real-world data, a feasible solution is the best that we can expect.\n",
    "\n",
    "We will now divide `shrunk_norm_matrix` into 20 clusters.\n",
    "\n",
    "**Listing 15. 44. Clustering newsgroup posts into 20 clusters**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(0)\n",
    "cluster_model = KMeans(n_clusters=20)\n",
    "clusters = cluster_model.fit_predict(shrunk_norm_matrix)\n",
    "df = pd.DataFrame({'Index': range(clusters.size), 'Cluster': clusters})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that've clustered our texts, lets explore the cluster contents. We'll begin by analyzing a single cluster. Later, we'll proceed to analyze all clusters simultaneously.\n",
    "\n",
    "### 15.5.1. Exploring a Single Text Cluster\n",
    " \n",
    "One of our 20 clusters contains the car-post at index 0 of `newsgroups.data`. Lets isolate and count the number of texts that group together with that car-themed message.\n",
    "\n",
    "**Listing 15. 45. Isolating the car cluster**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "393 posts cluster together with the car-themed post at index 0\n"
     ]
    }
   ],
   "source": [
    "df_car = df[df.Cluster == clusters[0]]\n",
    "cluster_size = df_car.shape[0]\n",
    "print(f\"{cluster_size} posts cluster together with the car-themed post \"\n",
    "       \"at index 0\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**WARNING: The contents of the cluster might differ slightly on your local machine. The total cluster size might minimally diverge from 393. If this happens, then the subsequent sequence of code listings might produce different results. Regardless of these differences, you should still be able to draw similar conclusions from your locally generated outputs.**\n",
    "\n",
    "393 posts cluster with the car-themed texts at index 0. Presumably, these posts are also about cars. If so, then a randomly chosen post should mention an automobile. \n",
    "\n",
    "**Listing 15. 46. Printing a random post in the car cluster**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This post appeared in the rec.autos discussion group:\n",
      "\n",
      "My wife and I looked at, and drove one last fall. This was a 1992 model.\n",
      "It was WAYYYYYYYYY underpowered. I could not imagine driving it in the\n",
      "mountains here in Colorado at anything approaching highway speeds. I\n",
      "have read that the new 1993 models have a newer, improved hp engine. \n",
      "I'm quite serious that I laughed in the salesman face when he said \"once\n",
      "it's broken in it will feel more powerful\". I had been used to driving a\n",
      "Jeep 4.0L 190hp engine. I believe the 92's Land Cruisers (Land Yachts)\n",
      "were 3.0L, the sames as the 4Runner, which is also underpowered (in my\n",
      "own personal opinion). \n",
      "They are big cars, very roomy, but nothing spectacular.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(1)\n",
    "def get_post_category(index):\n",
    "    target_index = newsgroups.target[index]\n",
    "    return newsgroups.target_names[target_index]\n",
    "\n",
    "random_index = np.random.choice(df_car.Index.values)\n",
    "post_category = get_post_category(random_index)\n",
    "\n",
    "print(f\"This post appeared in the {post_category} discussion group:\\n\")\n",
    "print(newsgroups.data[random_index].replace('\\n\\n', '\\n'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This post belongs in the _rec.autos_ discussion group. How many of the nearly 400 posts within the cluster belong to _rec.autos_? Lets find out.\n",
    "\n",
    "**Listing 15. 47. Checking cluster membership to _rec.autos_**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "84.73% of posts within the cluster appeared in the rec.autos discussion group\n"
     ]
    }
   ],
   "source": [
    "rec_autos_count = 0\n",
    "for index in df_car.Index.values:\n",
    "    if get_post_category(index) == 'rec.autos':\n",
    "        rec_autos_count += 1\n",
    "        \n",
    "rec_autos_percent = 100 * rec_autos_count / cluster_size\n",
    "print(f\"{rec_autos_percent:.2f}% of posts within the cluster appeared \"\n",
    "       \"in the rec.autos discussion group\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "84% of the posts in within the cluster appeared in _rec.autos_. What about the remaining 16% of clustered posts? Lets isolate the indices of posts in `df_car` that do not belong to _rec.autos_. Afterwards, we’ll choose a random index and then print the associated post.\n",
    "\n",
    "**Listing 15. 48. Examining a post that did not appear in rec.autos**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This post appeared in the sci.electronics discussion group:\n",
      "\n",
      ">The father of a friend of mine is a police officer in West Virginia.  Not  \n",
      ">only is his word as a skilled observer good in court, but his skill as an  \n",
      ">observer has been tested to be more accurate than the radar gun in some  \n",
      ">cases . . ..  No foolin!  He can guess a car's speed to within 2-3mph just  \n",
      ">by watching it blow by - whether he's standing still or moving too!  (Yes,  \n",
      "1) How was this testing done, and how many times?  (Calibrated speedometer?)\n",
      "2) It's not the \"some cases\" that worry me, it's the \"other cases\" :-)\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(1)\n",
    "not_autos_indices = [index for index in df_car.Index.values\n",
    "                     if get_post_category(index) != 'rec.autos']\n",
    "\n",
    "random_index = np.random.choice(not_autos_indices)\n",
    "post_category = get_post_category(random_index)\n",
    "\n",
    "print(f\"This post appeared in the {post_category} discussion group:\\n\")\n",
    "print(newsgroups.data[random_index].replace('\\n\\n', '\\n'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thematically, the post is about automobiles.  Thus, it appears to have clustered correctly. What about the other 60-or-so posts represented by the `not_autos_indices` list? How do we evaluate their relevance? Well, we can aggregate their content by displaying the top-ranking words across all posts. We’ll rank each word by summing its TFIDF across each index in `not_autos_indices`. \n",
    "\n",
    "**Listing 15. 49. Ranking the top 10 words with TFIDF**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Word  Summed TFIDF\n",
      "      car      8.026003\n",
      "     cars      1.842831\n",
      "    radar      1.408331\n",
      "    radio      1.365664\n",
      "      ham      1.273830\n",
      "      com      1.164511\n",
      " odometer      1.162576\n",
      "    speed      1.145510\n",
      "     just      1.144489\n",
      "   writes      1.070528\n"
     ]
    }
   ],
   "source": [
    "def rank_words_by_tfidf(indices):\n",
    "    summed_tfidf = np.asarray(tfidf_matrix[indices].sum(axis=0))[0]\n",
    "    data = {'Word': words,\n",
    "            'Summed TFIDF': summed_tfidf}\n",
    "    return pd.DataFrame(data).sort_values('Summed TFIDF', ascending=False)\n",
    "\n",
    "df_ranked_words = rank_words_by_tfidf(not_autos_indices)\n",
    "print(df_ranked_words[:10].to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first two top-ranking words are _car_ and _cars_. Elsewhere on ranked list, we see mentions of _radar_, _odometer_, and _speed_. How do these speed-themed keywords compare with the rest of the posts in the car cluster? We can check, by inputting `df_car.Index.values` into `rank_words_by_tfidf`.\n",
    "\n",
    "**Listing 15. 50. Ranking the top 10 words in the car cluster**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Word  Summed TFIDF\n",
      "     car     47.824319\n",
      "    cars     17.875903\n",
      "  engine     10.947385\n",
      "  dealer      8.416367\n",
      "     com      7.902425\n",
      "    just      7.303276\n",
      "  writes      7.272754\n",
      "     edu      7.216044\n",
      " article      6.768039\n",
      "    good      6.685494\n"
     ]
    }
   ],
   "source": [
    "df_ranked_words = rank_words_by_tfidf(df_car.Index.values)\n",
    "print(df_ranked_words[:10].to_string(index=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generally, the posts in the`df_car` cluster focus on car-engines and car-dealers. However, a minority of the posts discuss radar measurements of car speed. These radar posts are more likely to appear in the _sci.electronics_ newsgroup. Nonetheless, these posts legitimately discuss cars (as opposed to discussing politics, software or medicine). Thus, our `df_car` cluster appears to be genuine. \n",
    "\n",
    "In this same manner, we can utilize `rank_words_by_tfidf` to get the top keywords for each of the 20 clusters. We can visualize these cluster-keywords as images within a single coherent plot. \n",
    "\n",
    "## Visualizing Text Clusters\n",
    "\n",
    "Lets visualize the words within our car-cluster in a 2D grid, where word-size is proportional to significance. This type of visualization is called a **word cloud**. We'll utilize `plt.text` to generate a word cloud of the top words  in `df_ranked_words`. \n",
    "\n",
    "**Listing 15. 51. Plotting a word cloud with Matplotlib**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i = 0\n",
    "for x_coord in np.arange(0, 1, .2):\n",
    "    for y_coord in np.arange(0, 1, .2):\n",
    "        word, significance = df_ranked_words.iloc[i].values        \n",
    "        plt.text(y_coord, x_coord, word, fontsize=2*significance)\n",
    "        i += 1\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our visualization is a mess!  We need to plot our words much more intelligently. This can be done using the external Wordcloud library. The library is able to generate word clouds in a manner that’s visually appealing. Lets import and initialize the library’s `WordCloud` class. \n",
    "\n",
    "**Listing 15. 52. Initializing the `WordCloud` class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud\n",
    "cloud_generator = WordCloud(random_state=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Running `WordCloud()` returns a `cloud_generator` object. We’ll use the object’s `fit_words` method to generate an image. We’ll store that word-cloud image within a `wordcloud_image` variable. However, we won’t plot the image just yet.\n",
    "\n",
    "**Listing 15. 53. Generating a word-cloud image**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "words_to_score = {word: score \n",
    "                  for word, score in df_ranked_words[:10].values}\n",
    "wordcloud_image = cloud_generator.fit_words(words_to_score)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we’re ready to visualize `wordcloud_image`. Running `plt.imshow(wordcloud_image)` will display our generated word cloud. \n",
    "\n",
    "**Listing 15. 54. Plotting an image using `plt.imshow`**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(wordcloud_image)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our image's dark background makes it hard to read the words. We can change the background from black to white by running `WordCloud(background_color='white')`. Also, the edges of the individual letters are pixelated and blocky. We can smooth all edges in our image plot by passing `interplolation=\"bilinear\"` into `plt.imshow`.\n",
    "\n",
    "**Listing 15. 55. Improving the word-cloud image quality**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cloud_generator = WordCloud(background_color='white',\n",
    "                            random_state=1)\n",
    "wordcloud_image = cloud_generator.fit_words(words_to_score)\n",
    "plt.imshow(wordcloud_image, interpolation=\"bilinear\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The top words the car-cluster have been successfully visualized. Now, lets apply word-cloud visualization to some other randomly chosen cluster. \n",
    "\n",
    "**Listing 15. 56. Plotting a word cloud for a random cluster**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.random.seed(1)\n",
    "\n",
    "def cluster_to_image(df_cluster, max_words=15, **kwargs):\n",
    "    indices = df_cluster.Index.values\n",
    "    df_ranked_words = rank_words_by_tfidf(indices)[:max_words]\n",
    "    words_to_score = {word: score \n",
    "                      for word, score in df_ranked_words[:max_words].values}\n",
    "    cloud_generator = WordCloud(background_color='white',\n",
    "                                color_func=_color_func,\n",
    "                                random_state=1)\n",
    "    wordcloud_image = cloud_generator.fit_words(words_to_score)\n",
    "    return wordcloud_image\n",
    "\n",
    "def _color_func(*args, **kwargs):\n",
    "    return np.random.choice(['black', 'blue', 'teal', 'purple', 'brown'])\n",
    "\n",
    "cluster_id = np.random.randint(0, 20)\n",
    "df_random_cluster = df[df.Cluster == cluster_id]\n",
    "wordcloud_image = cluster_to_image(df_random_cluster)\n",
    "plt.imshow(wordcloud_image, interpolation=\"bilinear\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**WARNING: The contents and the order of the clusters might differ slightly on your local machine. If this occurs, then the randomly chosen cluster will not reflect what is described within these notes.**\n",
    "\n",
    "Our randomly chosen cluster includes top words  such as _monitor_, _video_, _memory_, _card_, _motherboard_, _bit_, and _ram_. The cluster seems to focus on technology and computer hardware. We can verify by printing the most-common newsgroup category within the cluster.\n",
    "\n",
    "**Listing 15. 57. Checking the most-common cluster category**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The posts within the cluster commonly appear in the 'comp.sys.ibm.pc.hardware' newsgroup\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "\n",
    "def get_top_category(df_cluster):\n",
    "    categories = [get_post_category(index)\n",
    "                  for index in df_cluster.Index.values]\n",
    "    top_category, _ = Counter(categories).most_common()[0]\n",
    "    return top_category\n",
    "\n",
    "top_category = get_top_category(df_random_cluster)\n",
    "print(\"The posts within the cluster commonly appear in the \"\n",
    "      f\"'{top_category}' newsgroup\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "W've successfully identified the cluster's topic simply by looking at the word cloud.\n",
    "\n",
    "So far, we’ve generated two separate word clouds for two distinct clusters. However, our end-goal is to display multiple word clouds simultaneously. We’ll now proceed to visualize all word clouds within a single figure, using a Matplotlib concept called a subplot.\n",
    "\n",
    "\n",
    "### 15.6.1. Using Subplots to Display Multiple Word Clouds\n",
    "\n",
    "Matplotlib allows us to include multiple plots within a single figure. Each distinct plot is called a **subplot**. \\ We can create a sublot-grid containing `r` rows and `c` columns by running `plt.subplots(r, c)`. Below, we’ll generate 2x2 grid of subplots by running `plt.subplots(2, 2)`.  For every unique subplot positioned at `(r, c`), we’ll plot a quadratic curve in which `y` equals `r * x*x + c * x`.\n",
    "\n",
    "**Listing 15. 58. Generating 4 subplots using Matplotlib**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TENLewN9FpBioheeYQUKZLxRi9mScYPqSTXyXnMGobmE8d1V/uobZxHKhzoqBMafgw7U6xpSz3mqgv7PpAquoWJmzahcv/Xs7dWvV4s9X9mfisC42lUQ1YcXAGHNa2w96JpbbuO8oY3q35ZnL+9O+eQO3Yxk/smJgjClXfmExr69MZOZXiTRtUJe/XT+YSwd0sK2BasiKgTGmTBv2HeWhxfFsP5TN5YM68tilfWnVuJ7bsYxDrBgYY37hZH4Rf/n3dmav2kW7Zg2YPSmG83vZxHLVnRUDY8zPVicdZvqSTezNzOHGEeFMv7gXTW1iuRrBioExhmO5Bfx52VYWrNlHRFgjFk4bychuYW7HMgFkxcCYGu6LhEPMWLqJ9Ow87ji7G/eN6WETy9VAVgyMqaEyjufxxEcJfLRxP73aN+Uft8QwoHMLt2MZl1gxMKaGUVViN+7nidgtHM8r5IGxPbjznO42sVwNZ8XAmBpk/9GTPLJ0Myu2pTE43DOxXHQ7m1jOWDEwpkYoLlbeXbOX5z7dRlGx8tglfbj1jAibWM78zIqBMdXcrsMnmL4knh92ZTI6Kow/XzGA8LBGbscyQcaKgTHVVGFRMW99u4uXP99BvTq1eOGqAVwT09mmkjBlsmJgTDW09cAxHloST3xKFmP7tOOZy/vRrplNLGfKZ8XAmGokr7CImSsSeX1lEi0a1WXmDUMY37+9bQ2Y07JiYEw1sW7PER5aEk9i2nGuHNKJR3/Vh5Y2sZzxkRUDY0JcTn4hLy7fztzVu+nQrAFzJg/jvJ5t3Y5lQowVA2NC2Lc7DzP9g3hSjpzkllFd+cO4XjSpbx9rU3HWa4wJQVknC3j2kwTei0shsnVj3rtjFMMjW7kdy4QwKwbGhJjlWw7y6NLNZJzI565zu/PbC6JpUNcmljNVU6XJSESklYh8LiI7vf+2LKfdrd42O0Xk1hKPrxSR7SKywftjOzpNUBGRcd4+migi08tYXl9EFnmX/yAiESWWPex9fLuIXFTVLOnZedz9zo/c8fY6Wjepz7/uHs1D43pZITB+UdUtg+nAl6r6nPeDMh14qGQDEWkFPA7EAAqsE5FYVT3ibXKjqsZVMYcxficitYGZwFggBVjr7bsJJZpNBY6oapSITASeB64TkT7ARKAv0BH4QkR6qGpRRXOoKh+uT+WpjxPIySviwYt6Mu3sbtStbRPLGf+pam+aAMzz3p4HXF5Gm4uAz1U101sAPgfGVfF1jQmE4UCiqiaraj6wEE+fL6nkZ2AxcIF4BvVPABaqap6q7gISvc9XYc99uo0H3ttI9zZNWPbbs7j7vCgrBMbvqrpl0E5VD3hvHwTKulBqJ2Bfifsp3sd+MkdEioAlwDOqqmW9kIhMA6YBhIeHVzG2MT4pq++OKK+NqhaKSBYQ5n38+1Lrdiq1rk/9+qqhnWnfvAG3jLKJ5YxzTlsMROQLoH0Zi2aUvKOqKiJl/iE/hRtVNVVEmuIpBjcD88tqqKqzgFkAMTExFX0dY4KSL/26R7um9LBppo3DTlsMVHVMectE5JCIdFDVAyLSAUgro1kqcG6J+52Bld7nTvX+my0i7+LZjC6zGBjjglSgS4n7nb2PldUmRUTqAM2BDB/XNSZoVHXHYyzw0+igW4F/ldFmOXChiLT0jja6EFguInVEpDWAiNQFLgE2VzGPMf60FogWkUgRqYfngHBsqTYlPwNXAyu8uzpjgYne0UaRQDSwJkC5jakwKWcXvW8ri4QB7wHhwB7gWlXNFJEY4E5Vvc3bbgrwR+9qz6rqHBFpDHwN1AVqA18AD/gy2kJE0r2vV5bWwOFK/6f8J1hyQPBkCZYccOosXVW1DYCIjAf+iqePzlbVZ0XkKSBOVWNFpAHwNjAYyAQmqmqyd90ZwBSgELhPVT89VaAQ6dcQPFmCJQeERpaf+3VZqlQMgpGIxKlqjOX4r2DJEiw5ILiy+CKY8gZLlmDJAdUji41PM8YYY8XAGGNM9SwGs9wO4BUsOSB4sgRLDgiuLL4IprzBkiVYckA1yFLtjhkYY4ypuOq4ZWCMMaaCrBgYY4wJzWJQlWmFXcjygIgkiEi8iHwpIl3dylKi3VUiot7zQVzJISLXet+XLd6zzx3hw+8nXES+EpH13t/ReKey+ML6dsVzlGjnaL/2NUsg+rYj/VpVQ+oHz8k/SUA3oB6wEehTqs2vgTe8tycCi1zMch7QyHv7LjezeNs1xXOy3/dAjEvvSTSwHmjpvd/Wxd/PLOAu7+0+wO5A9OMq5K1RfTtY+nUF3hPH+7ZT/ToUtwyqMq1wwLOo6leqmuO9+z2eOWqc4Mv7AvA0njn3c13McTswU73XtFDVsua0ClQWBZp5bzcH9juUxRfWtyuRw8vpfu1rlkD0bUf6dSgWg9NNif2LNqpaCPw0rbAbWUqaCpxySgIns4jIEKCLqn7iUAafcgA9gB4iskpEvhcRp65v4UuWJ4CbRCQFWAbc61AWX1jfrkSOAPVrn7IQmL7tSL+2ayAHiIjchOdqb+e49Pq1gJeBSW68fil18GxOn4vn2+TXItJfVY+6kOV6YK6q/kVERgFvi0g/VS12IUtIcrNvB1m/huDp2xXu16G4ZVCRaYWRX04r7EYWRGQMnus/XKaqeQ7k8CVLU6AfsFJEdgMjgVgHDrb58p6kALGqWqCeq4DtwPMB8jdfskzFM9kiqvod0ADPRF9usL5d8RyB6te+ZIHA9G1n+rUTB1qc/MFTeZOBSP578KRvqTZ388uDbO+5mGUwnoM90W6/L6Xar8SZA8i+vCfjgHne263xbPKGuZTlU2CS93ZvPPtWxcnfVRXz1qi+HSz9ugLvieN926l+HfAO76c3YzyeipsEzPA+9hSebyfgqYLv47nu7Bqgm4tZvgAOARu8P7FuZSnV1skPzeneE8GzaZ8AbMIz7bNbv58+wCrvB2oDcGGg+3MF89a4vh0s/drH9yQgfduJfm3TURhjjAnJYwbGGGP8zIqBMRUkIrNFJE1EyrxMq4icKyJZIrLB+/NYoDMaU1E2tNSYipsLvAbMP0Wbb1T1ksDEMabqQrIYtG7dWiMiItyOYaqpdevWHdZTXCtWVb92Yk4g69fGSafr1yFZDCIiIoiLi3M7hqmmRKS8i9JXxCgR2YhnSN/vVXVLOa81DZgGEB4ebv3aOOZ0/dqOGRjjfz8CXVV1IPAqsLS8hqo6S1VjVDWmTZtyv7QZ4zgrBqbG+XHvEZLSjzv2/Kp6TFWPe28vA+qKiFtnNZsaQlX514ZUCooqN5OKFQNToySlH2fK3LU8+P5GnDrHRkTa/zSTqIgMx/M5c2LKCGMAKCgq5o8fbuK3CzeweF1KpZ4jJI8ZGFMZ6dl5TJqzhjq1hL9eN5jKzvwsIgvwTETW2jsr5ONAXQBVfQO4GrhLRAqBk3jOQrWzO40jsnMLuPvd9Xy9I517zoviupgup1+pDFYMTI2Qk1/I1HlrOZydz8JpIwkPa1Tp51LV60+z/DU8Q0+NcdSBrJNMnrOWnWnHef6q/lw3LLzSz+XobqJguUScqdkKi4q55931bE7N4rUbBjOwSwu3IxlTZVv2Z3H5zFWkHjnJ3MnDqlQIwMEtAxGpDcwExuKZ1nWtiMSqakKJNtHAw8BoVT0iIm2dymNqJlXlsdgtrNiWxrNX9OOC3u3cjmRMlX21LY173v2R5g3r8v5do+jVvtnpVzoNJ7cMguUScaYGe31lEu/+sJdfn9udG0c4cr12YwLqn9/vYeq8tUS2acyHd4/2SyEAZ4uBXy8RJyLTRCROROLS09MdiGuqmw/Xp/Di8u1cPqgjD17U0+04xlRJcbHy52VbeWTpZs7t2ZZF00bRrlkDvz2/2weQfb5EnKrOAmYBxMTE2MgMc0qrEw/zh8XxjOoWxgtXD6z0yCFjgkFuQREPvLeBZZsOcvPIrjx+aR/q1Pbvd3kni4Gvl4j7QVULgF0i8tMl4tY6mMtUc9sOHuOOt9cR2boxb9w8lHp17HQaE7oyjudx2/w4Nuw7yiO/6s3UMyMd+XLj5KdkLRAtIpEiUg/PJfpiS7VZimerAO8Zmj3wXM7NmEr5aahdo/q1mTt5OM0b1nU7kjGVlpR+nCteX03C/mP8341DuO2sbo5t5Tq2ZaCqhSJyD7AcqA3MVtUtIvIUEKeqsd5lF4pIAlAEPKiqdqamqZRjuQVMnrOW7NxC3r9zFB1bNHQ7kjGVtmZXJrfPj6NOLWHhtJEMDm/p6Os5eszAOy/LslKPPVbitgIPeH+MqbT8wmLu+uc6EtOOM2fyMHp38M8IC2Pc8K8NqTz4fjydWzVk7qThVTpJ0lduH0A2pspUlekfxLMqMYOXrhnIWdE2+6cJTarKzK8SeenfOxgR2Yq/3zyUFo3qBeS1rRiYkPfy5zv44MdUfje2B1cP7ex2HGMqpaComBkfbuK9uBQuH9SR568eQP06tQP2+lYMTEh794e9vLoikYnDunDP+VFuxzGmUo7lFnD3Oz/yzc7D/Ob8KO4f2yPgw6GtGJiQ9dW2NB7912bO7dmGZy7vZ+cSmJCUevQkU+asJSn9OC9ePYBrKjnraFVZMTAhKT7lKL9+50d6d2jKzBuG+P0EHGMCYXNqFpPnriU3v4h5U4YzOsq9ayBZMTAhZ19mDlPmriWsST1mTxpG4/rWjU3o+XLrIe5dsJ6Wjerxzq9H0KNdU1fz2KfIhJQjJ/K5dc4aCoqUhdOG07ap/+ZmMSZQ5n+3mydit9C3Y3PemhQTFP3YioEJGbkFRdw+P46UIyf559QRRLVt4nYkYyqkuFj507KtvPntLsb0bsvfrh9Mo3rB8Wc4OFIYcxrFxcoD720gbs8RXrthMMMjW7kdyZgKOZlfxP2LNvDZloNMOiOCRy/pQ+1awTPowYqBCQnPLtvKsk0HmTG+N5cM6Oh2HGMqJD3bM9lcfMpRHrukD1POjHQ70v+wYmCC3uxvd/HWt7uYdEYEt50VfB8iY04lMe04k+euIT07jzduGspFfdu7HalMVgxMUPt00wGe/iSBi/q249FL+ti5BCakfJ+cwbT5cdSrU4tF00YF9fW3rRiYoBW3O5P7Fm1gcJcWvDJxcFDtXzXmdD5cn8IfFsfTNawxcyYNo0sr5yebqwo7U8cEpaT049w2P46OLRry5q3DaFA3cHO0+EJEZotImohsLme5iMjfRCRRROJFZEigMxp3qCqvfLGT+xdtZGjXliy584ygLwRgxcAEofTsPCbNWUNtEeZOHkarxoGZtbGC5gLlXrMbuBjPVfuigWnA/wUgk3FZfmExDy6O5/99sYMrB3di/pQRNG8UGhdYst1EJqjk5Bcydd5a0rPzWDhtFF3DGrsdqUyq+rWIRJyiyQRgvveaHd+LSAsR6aCqBwIS0ARc1skC7vrnOlYnZXDfmGh+e0F0SB3jsmJggkZhUTH3vruezalZzLo5hkFBfLDNB52AfSXup3gf+0UxEJFpeLYcCA8PD1g4418pR3KYPGctuzNO8JdrBnJVCE6lbruJTFBQVR6L3cKX29J4ckI/xvRp53akgFDVWaoao6oxbdrYRXlC0cZ9R7l85moOHstl3pThIVkIwLYMTJB4fWUS7/6wlzvP6c7NI7u6HccfUoGScxF39j5mqoniYmX2ql08/9k22jZtwILbRxDt8mRzVeH4loGIjBOR7d5RFdNP0e4qEVERiXE6kwkuS9en8uLy7UwY1JE/XNTT7Tj+Egvc4h1VNBLIsuMF1Ud6dh6T567lmU+2cm7Ptnx875khXQjA4S0DEakNzATG4tlnulZEYlU1oVS7psBvgR+czGOCz+rEwzy4eCMju7XihasHUCtEziUQkQXAuUBrEUkBHgfqAqjqG8AyYDyQCOQAk91Javxt5fY0fv/+RrJzC3n68n7cNCI8pA4Ul8fp3UTDgURVTQYQkYV4RlkklGr3NPA88KDDeUwQ2XbwGHe8vY7I1o35+80xAb3ea1Wp6vWnWa7A3QGKYwIgr7CI5z/dzuxVu+jZrinv3DaSnu1De2ugJKeLQVkjKkaUbOA9GaeLqn4iIuUWAxt1Ub0cyDrJ5DlraVS/NnMmD6d5w9AYi21qpsS04/xmwXoSDhzj1lFdeXh876mIjfEAABMwSURBVKA7EbKqXD2ALCK1gJeBSadrq6qzgFkAMTEx6mwy46RjuQVMnrOW7NxCFt0xkk4tGrodyZgyqSqL1u7jyY8SaFC3Fm/eElNtR7o5XQxON6KiKdAPWOnd59YeiBWRy1Q1zuFsxgX5hcXc9c91JKYdZ87kYfTt2NztSMaUKSungIc/jGfZpoOcGdWav1w7kHbN3L8imVOcLgZrgWgRicRTBCYCN/y0UFWzgJ+vAC0iK4HfWyGonlSV6R/EsyoxgxevHsBZ0Tau3gSnNbsyuW/hetKy85h+cS+mndUtZAY3VJajxUBVC0XkHmA5UBuYrapbROQpIE5VY518fRNcXv58Bx/8mMr9Y3pwTUyX069gTIAVFhXzty938tpXiYS3asSSu84I6mmn/cnxYwaqugzPMLuSjz1WTttznc5jAq+4WPnbip28uiKR62K68JsLotyOZMz/2JeZw32LNrBuzxGuGtKZJyf0pUn9mnNebs35nxpXnMgr5HfvbeSzLQe5cnAnnrmiX7UYk22ql4827uePH24ChVcmDmLCoE5uRwo4KwbGMXszcrh9fhw707J55Fe9mXpmpBUCE1RO5BXyeOwWFq9LYXB4C/42cXBIXHvACVYMjCNWJR7m7nd/RBXmTRluB4tN0IlPOcpvF25gd8YJ7j0/it9cEE3d2jV37k4rBsavVJU5q3bz7LKtdGvdmH/cEkNE6+C8JoGpmYqLlX98k8xL/95O6yb1WXD7SEZ2C3M7luusGBi/yS0o4pGlm1m8LoUL+7Tj5esG1agDcCb4pR3L5Xfvb+SbnYcZ17c9z13VnxaNgvJKegFnn1TjF4eO5XLH2+vYsO8ov73Ac5Wn6j4u24SWFdsO8fv348nJL+TPV/Zn4rAudgyrBCsGpsp+3HuEO99ex/G8Qt64aQjj+nVwO5IxP8stKOK5T7cxd/VuendoxqvXDyKqbfWZYM5frBiYKnk/bh8zPtxMu+b1mT/1DHq1b+Z2JGN+tvNQNvcuWM+2g9lMHh3BQ+N6VbsJ5vzFioGplMKiYp5dtpU5q3YzOiqM164fQsvGtu/VBAdV5d01e3n64wQa16vDnEnDOK9XW7djBTUrBqbCjpzI554FP7IqMYMpoyP54/he1KnBQ/JMcDlyIp/pH8SzfMshzor2TDDXtmn1nWDOX6wYmArZdvAYt8+P41BWHi9ePcDmGDJB5bukDO5ftIGME3nMGO850dEGMvjGioHx2WebD/DAextpUr8Oi+4YyeDwlm5HMgaAgqJi/vrFDl5fmUREWGM+uGU0/Tvb9OgVYcXAnFZxsfLXL3fyty93MqhLC/5+89BqPa+7CS17M3L47aL1rN97lGtjOvP4pX1pbOe3VJi9Y+aUjucVcv+iDXyecIirh3bmmcv72WgMEzT+tSGVGR9uRgReu2Ewlwzo6HakkGXFwJRrT8YJbp8fR1L6CR6/tA+Tzoiwk3RMUMg6WcCTH23hgx9TGdq1Ja9MHETnljVzgjl/sWJgyvTNznTueXc9IjB/ynBGR7U+/UrGOKyoWFm4di9/+fcOjubk89sLorn3/CgbzeYHVgzML6gqb327iz8t20qPdk2ZdXMM4WH2jas0ERkHvILnCn5vqupzpZZPAl7kv9f8fk1V3wxoyGrmu6QMnvxoC9sOZjM8shWPXdKHfp3sILG/WDEwP8stKOKPH27igx9Tubhfe166ZqAdiCuDiNQGZgJjgRRgrYjEqmpCqaaLVPWegAesZvZl5vCnZVv5dPNBOrVoyMwbhjC+f3vbZeln9kk3ABzMyuWOt+PYmJLFA2N7cM95UTY+u3zDgURVTQYQkYXABKB0MTBVcCKvkP9bmcSsb5KpLcLvxvbg9rO72QAGhzhaDHzYlH4AuA0oBNKBKaq6x8lM5n+t23OEO/+5jpy8QmbdPJQL+7Z3O1Kw6wTsK3E/BRhRRrurRORsYAdwv6ruK91ARKYB0wDCw8MdiBp6iouVpRtSef6zbRw6lsflgzry0MW96NC8odvRqjXHioGPm9LrgRhVzRGRu4AXgOucymT+13tr9/HI0s10aNGAd24bQY92Npujn3wELFDVPBG5A5gHnF+6karOAmYBxMTEaGAjBp/1e4/w5EcJbNh3lAGdm/P6jUMY2rWV27FqBCe3DE67Ka2qX5Vo/z1wk4N5TAkFRcU883EC877bw1nRrXn1+sF2kQ/fpQIl5+HozH8PFAOgqhkl7r6J54uOKcehY7k8/9k2PvgxlTZN6/PSNQO5cnAn21UZQE4WA183pX8yFfi0vIW2Oe0/mSfy+fU76/g+OZPbz4rkoXE20VwFrQWiRSQSTxGYCNxQsoGIdFDVA967lwFbAxsxNOQWFPHWt7uY+VUihUXKXed25+7zouwKeS4IindcRG4CYoBzymtjm9P+kbD/GNPejiMtO4+Xrx3IlUM6ux0p5KhqoYjcAyzHczxstqpuEZGngDhVjQV+IyKX4TkelglMci1wEFJVlm85yDOfbCXlyEku7NOOGb/qTdcwu162W5wsBqfdlAYQkTHADOAcVc1zME+N90n8AX7//kaaN6zL+3eMYmCXFm5HClmqugxYVuqxx0rcfhh4ONC5QsHWA8d46qMEvkvOoGe7prxz2wg7qTEIOFkMfNmUHgz8HRinqmkOZqnRiouV//fFDl5dkciQ8Ba8cfNQm9/dBFzmiXz+8u/tLFizl2YN6/L0hL5cPzzcdlEGCceKgY+b0i8CTYD3vSeQ7FXVy5zKVBNl5xZw/6INfLE1jetiuvDU5X2pX8fGaZvAKSgq5u3v9vDXL3ZwIr+IW0ZFcN+YaBuwEGQcPWbgw6b0GCdfvyYrLComduN+XvlyJylHTvLUhL7cPLKrnbVpAmrl9jSe/jiBpPQTnBXdmscu6UO0DV8OSkFxANn4T35hMR/8mMLrK5PYm5lDr/aefbIju4W5Hc3UIMnpx3nmk62s2JZGRFgj3rwlhgt6t7UvI0HMikE1kVtQxHtx+3hjZRL7s3IZ0Lk5j/xqKGN6t7Ox2iZgjuUW8OqXO5mzajcN6tbmj+N7cesZEbZrMgRYMQhxOfmFvPvDXmZ9nUxadh5Du7bkT1f255webexbmAmYomLlvbh9vLR8O5k5+Vw7tAu/v6gnbZrWdzua8ZEVgxB1PK+Q+d/t5q1vdpFxIp9R3cL463WDGNU9zIqACagfkjN48qMEEg4cY1hES+ZdOtymlg5BVgxCTFZOAXNX72b2ql1knSzg7B5t+M35UcRE2PwtJrBSjuTw50+38Un8ATo2b8Cr1w/mkgEd7MtIiLJiECIyT+Tz1rfJzF+9h+y8Qsb0bse950fZiWMm4HLyC3ljZRJ//zoZEbhvTDR3nN2dhvXsuEAos2IQ5NKyc/nH18n88/u95BYWMb5fB+4+L4o+HZu5Hc3UMPmFnuHKLy3fzsFjuVw2sCPTL+5FxxY2tXR1YMUgSO0/epJZXyezYM1eCoqKuWxgR+4+L8rGaJuAyziex7s/7OXt7/eQlp1Hv07NePWGwQyzXZPVihWDILMvM4fXVyaxeN0+VOHKIZ349blRRLS2CbxMYG3Zn8WcVbuJ3bif/MJizu7RhueviuCcHm1suHI1ZMUgSCSnH+f1lUl8uD6V2iJcG9OFO8/pTpdWdjF6EzhFxcrnCQeZvWo3a3Zl0rBuba6N6cykMyKIamtbpdWZFQOX7TiUzWsrEvk4fj91a9fillFduePs7rRvbhPJmcDJyilgUdxe5q3eQ+rRk3Rq0ZA/ju/FdTHhNG9U1+14JgCsGLhkc2oWr61I5LMtB2lUrza3n92N287sZifpmIBKTDvO3NW7WLIulZMFRYyIbMWjl/RhbJ921LZdQTWKFYMAW7/3CK+tSOTLbWk0rV+He8+PYsroSFo2thkcTWAUFyv/2ZHO7FW7+GbnYerVqcWEgR2ZNDqCvh3tZLGayopBgKzZlcmrK3byzc7DtGhUl9+N7cEtZ0TQvKFtgpvAOJ5XyJJ1KcxbvZvkwydo27Q+vxvbgxtGhBPWxLZIazorBg5SVVYlZvC3FTtZsyuT1k3q8fDFvbhxZFe7xqsJmL0ZOcxdvZv34/aRnVfIoC4teGXiIC7u14F6dezCMsbD/iI54KfN8L+t2Mn6vUdp16w+j13Sh+uHh9tZmiYgVJXvkjKYvWo3X247RG0RxvfvwOTREQwOb+l2PBOErBhUQVGxsjczh52HsklMP07ioeOef9OOk5NfRKcWDXnm8n5cE9PZpvA1AZFbUMTS9anMXb2bbQezadW4HvecF8WNI7raCDVzSlYMfJBXWMTuwzkkph1nZ1o2iWmeP/jJ6SfILyr+uV37Zg2IbteEa2O6MDi8BeP7d6CuXd/VBMCBrJO8/d0eFqzZy5GcAnp3aMYLVw/gsoEdaVDXvoiY07NiUEJOfiHJ6Sd+/oO/85Dnj/6ezByKihUAEejSshFRbZtwTo82dG/bhOi2TejetgnNGtjBYBM4qsqPe48we9VuPtt8EFVlbJ92TB4dyYjIVjZ7qKkQx4uBiIwDXgFqA2+q6nOlltcH5gNDgQzgOlXd7WSmrJMFJKYdJ8n7TX+n95t+ypGTP7epU0voGtaIHu2aMr5/B6LbNSGqbRO6tW5i+/2Nq/06v7CYTzbtZ86q3cSnZNGsQR2mnhnJzSO72hnrptIcLQYiUhuYCYwFUoC1IhKrqgklmk0FjqhqlIhMBJ4Hrqvqa6sqGSfyPd/u04+T6N2vv/PQcdKy835uV69OLbq3acKQ8JZcG9OF6LaeP/pdwxrbSAtTJrf6dXp2Hu/8sId3fthLenYe3ds05unL+3Hl4E40ttFppoqc7kHDgURVTQYQkYXABKDkh2YC8IT39mLgNRERVdWKvNCRE/l8sD7Vuz/fs5vnSE7Bz8sb16tNVLumnBXdxvMtv00Tots1oXPLRnampamogPVrgIT9x3jz22Q+3niA/KJizuvZhkmjIzkrqrVNGGf8xuli0AnYV+J+CjCivDaqWigiWUAYcLhkIxGZBkwDCA8P/58XOllQxNMfJ9CiUV2i2zZhXL8ORHn350e3a0L7Zg1sH6rxl4D1a4DlWw7y2eaDXD+8C7eeEUG3Nk388p8wpqSQ2bZU1VnALICYmJj/+XbVoXkD4h4ZQ1jjevZH34SM0/VrgClnRjL1rEgboGAc5fRO8VSgS4n7nb2PldlGROoAzfEccKsQEaF1k/pWCEwgBKxfAzRvWNcKgXGc08VgLRAtIpEiUg+YCMSWahML3Oq9fTWwojL7VY0JIOvXptpxdDeRd1/pPcByPEPwZqvqFhF5CohT1VjgLeBtEUkEMvF8sIwJWtavTXUkofhlRUTSgT3lLG5NqYN0LgmWHBA8WYIlB5w6S1dVbRPIMBAy/RqCJ0uw5IDQyHLKfh2SxeBURCROVWMsx38FS5ZgyQHBlcUXwZQ3WLIESw6oHlnsrCpjjDFWDIwxxlTPYjDL7QBewZIDgidLsOSA4Mrii2DKGyxZgiUHVIMs1e6YgTHGmIqrjlsGxhhjKsiKgTHGmNAsBiIyTkS2i0iiiEwvY3l9EVnkXf6DiES4mOUBEUkQkXgR+VJEurqVpUS7q0RERcSRoXC+5BCRa73vyxYRedeJHL5kEZFwEflKRNZ7f0fjncriC+vbFc9Rop2j/drXLIHo2470a1UNqR88Z3wmAd2AesBGoE+pNr8G3vDenggscjHLeUAj7+273MzibdcU+Br4Hohx6T2JBtYDLb3327r4+5kF3OW93QfYHYh+XIW8NapvB0u/rsB74njfdqpfh+KWwc9zyatqPvDTXPIlTQDmeW8vBi4QZ2awO20WVf1KVXO8d7/HM6mZE3x5XwCexnOhlVwXc9wOzFTVIwCqmuZiFgWaeW83B/Y7lMUX1rcrkcPL6X7ta5ZA9G1H+nUoFoOy5pLvVF4bVS0EfppL3o0sJU0FPnUgh09ZRGQI0EVVP3Eog085gB5ADxFZJSLfi+cSkm5leQK4SURSgGXAvQ5l8YX17UrkCFC/9ikLgenbjvTrkLmeQagTkZuAGOAcl16/FvAyMMmN1y+lDp7N6XPxfJv8WkT6q+pRF7JcD8xV1b+IyCg8k8v1U9ViF7KEJDf7dpD1awievl3hfh2KWwYBnUveD1kQkTHADOAyVc0rvTxAWZoC/YCVIrIbGAnEOnCwzZf3JAWIVdUCVd0F7MDzAfI3X7JMBd4DUNXvgAZ4Jvpyg/XtiucIVL/2JQsEpm8706+dONDi5A+eypsMRPLfgyd9S7W5m18eZHvPxSyD8RzsiXb7fSnVfiXOHED25T0ZB8zz3m6NZ5M3zKUsnwKTvLd749m3Kk7+rqqYt0b17WDp1xV4Txzv207164B3eD+9GePxVNwkYIb3safwfDsBTxV8H0gE1gDdXMzyBXAI2OD9iXUrS6m2Tn5oTveeCJ5N+wRgEzDRxd9PH2CV9wO1Abgw0P25gnlrXN8Oln7t43sSkL7tRL+26SiMMcaE5DEDY4wxfmbFwBhjjBUDY4wxVgyMMcZgxcAYYwxWDIwxxmDFwBhjDPD/Ac+59c9j0UkwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, axes = plt.subplots(2, 2)\n",
    "for r in range(2):\n",
    "    for c in range(2):\n",
    "        x = np.arange(0, 1, .2)\n",
    "        y = r * x * x + c * x \n",
    "        axes[r][c].plot(x, y)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Four different curves appear within the subplots of our grid. We can replace any of these curves with a word cloud. Lets visualize `wordcloud_image` in the lower-left quadrant of the grid.\n",
    "\n",
    "**Listing 15. 59. Plotting a word cloud within a subplot**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, axes = plt.subplots(2, 2)\n",
    "for r in range(2):\n",
    "    for c in range(2):\n",
    "        if (r, c) == (1, 0):\n",
    "            axes[r][c].set_title(top_category)\n",
    "            axes[r][c].imshow(wordcloud_image,\n",
    "                              interpolation=\"bilinear\")\n",
    "        else:\n",
    "            x = np.arange(0, 1, .2)\n",
    "            y = r * x * x + c * x \n",
    "        axes[r][c].plot(x, y)\n",
    "        \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets generate a figure that’s 10 inches high and 15 inches inches. The large figure will hold 20 subplots, aligned in a 5x4 grid. Each subplot will contain a word cloud corresponding to one of our clusters. Every subplot title will be set to the dominant newsgroup category within a cluster. Also, we’ll include the cluster-index in each title, for later reference. Finally, we’ll remove the axis tick-marks from all plots. The final visualization will give us birds-eye-view of all the dominant word-patterns across all 20 clusters.\n",
    "\n",
    "**Listing 15. 60. Visualizing all clusters using 20 subplots**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.random.seed(0)\n",
    "\n",
    "def get_title(df_cluster):\n",
    "    top_category = get_top_category(df_cluster)\n",
    "    cluster_id = df_cluster.Cluster.values[0]\n",
    "    return f\"{cluster_id}: {top_category}\"\n",
    "\n",
    "figure, axes = plt.subplots(5, 4, figsize=(20, 15))\n",
    "cluster_groups = list(df.groupby('Cluster'))\n",
    "for r in range(5):\n",
    "    for c in range(4):\n",
    "        _, df_cluster = cluster_groups.pop(0)\n",
    "        wordcloud_image = cluster_to_image(df_cluster, max_words=10)\n",
    "        ax = axes[r][c]\n",
    "        ax.imshow(wordcloud_image,\n",
    "                  interpolation=\"bilinear\")\n",
    "        ax.set_title(get_title(df_cluster), fontsize=20)\n",
    "        ax.set_xticks([])\n",
    "        ax.set_yticks([])\n",
    "\n",
    "#plt.savefig('../images/fig15-8.png', dpi=600)    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We’ve visualized the top words across all 20 clusters. For the most part, the visualized words make sense! Arguably, 75% of the clusters contain top-words corresponding with their dominant category titles.\n",
    "\n",
    "Of course, there are several issues with our output.For instance, Cluster 7 has a subplot title of `sci.med`, yet is word-cloud is composed of words like _pitt_, _msg_, and _gordon_.  Unfortunately, word-cloud visualization isn’t always perfect. Fortunately, there are steps we can take to salvage indecipherable word-clouds. For instance, we could disregard the top x words within the cluster, and visualize the cloud using the next top-raking words. Below, we will remove the top 10 words from Cluster 7. \n",
    "\n",
    "**Listing 15. 61. Recomputing a word cloud after filtering**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.random.seed(3)\n",
    "df_cluster= df[df.Cluster == 7]\n",
    "df_ranked_words = rank_words_by_tfidf(df_cluster.Index.values)\n",
    "\n",
    "words_to_score = {word: score \n",
    "                  for word, score in df_ranked_words[10:25].values}\n",
    "cloud_generator = WordCloud(background_color='white',\n",
    "                            color_func=_color_func,\n",
    "                            random_state=1)\n",
    "wordcloud_image = cloud_generator.fit_words(words_to_score)\n",
    "plt.imshow(wordcloud_image, interpolation=\"bilinear\")\n",
    "plt.title(get_title(df_cluster), fontsize=20)\n",
    "plt.xticks([])\n",
    "plt.yticks([]) \n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
